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grafana/scripts/node_modules/random-weighted-choice/README.md
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# Random Weighted Choice
[![Build Status](https://secure.travis-ci.org/parmentf/random-weighted-choice.png?branch=master)](http://travis-ci.org/parmentf/random-weighted-choice)
Node.js module to make a random choice among weighted elements of table.
## Installation
With [npm](http://npmjs.org) do:
$ npm install random-weighted-choice
## Examples
Although you can add several times the same id
var rwc = require('random-weighted-choice');
var table = [
{ weight: 1, id: "item1"} // Element 1
, { weight: 1, id: "item2"} // Element 2
, { weight: 4, id: "item3"} // Element with a 4 times likelihood
, { weight: 2, id: "item1"} // Element 1, weight added with 2 => 3
];
var choosenItem = rwc(table);
var choosenUnlikely = rwc(table, 100); // The last shall be first
var choosenDeterministically = rwc(table, 0);
It is better to not use the same twice, if you want a temperature other than
the default one (50).
var rwc = require('random-weighted-choice');
var table = [
{ weight: 1, id: "item1"} // Element 1
, { weight: 1, id: "item2"} // Element 2
, { weight: 4, id: "item3"} // Element with a 4 times likelihood
, { weight: 2, id: "item4"} // Element 4
, { weight: 2, id: "item5"}
];
var choosenItem = rwc(table);
var choosenUnlikely = rwc(table, 100); // The last shall be first
var choosenDeterministically = rwc(table, 0);
Without temperature (second parameter) or a 50 value, likelihoods are:
{ item1: 10%, item2: 10%, item3: 40%, item4: 20%, item5: 20% }
With a temperature value of 100:
{ item1: 30%, item2: 30%, item3: 0%, item4: 20%, item5: 20% }
With a temperature value of 0, modified weights are:
{ item1: 0, item2: 0, item3: 8, item4: 2, item5: 2 }
## Usage
### random-weighted-choice(Array table, Number temperature = 50)
Return the ``id`` of the chosen item from ``table``.
The ``table`` parameter should contain an Array. Each item of that Array must
bean object, with at least ``weight`` and ``id`` property.
Weight values are relative to each other. They are integers.
When the sum of the weight values is ``null``, ``null`` is returned (can't choose).
When the Array is empty, ``null`` is returned.
More explanations on how it works on [Everything2](http://everything2.com/title/Blackboard+temperature).
## Also
* https://github.com/Schoonology/weighted